• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.79-80
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• 2024

인공지능과 디지털 변환의 추세가 소매업계에서 온라인으로의 전환을 가속화하고 있다. 이러한 변화에 부응하여 본 논문에서는 O2O(Online-to-Offline) 상점을 위한 상품명 인식 기술을 제안한다. 제안하는 방법은 이미지 내 특징점과 이들 주변의 픽셀 정보를 포함하는 특징 디스크립터를 활용하여 상품 이미지와 진열대 사진을 비교하는 것에 초점을 맞춘다. 사용된 주요 알고리즘은 SURF와 BFMatcher, KnnMatch 방법으로, 이들은 각각 이미지의 특징점을 탐지하고 매칭하는 데 사용된다. 실험을 통해 적절한 임계값을 설정하여 높은 신뢰도의 매칭 결과를 선별하는 방법을 제시하였으며, 이를 통해 O2O 상점에서 상품 관리와 인식을 향상시키는 데 기여할 수 있다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.77-78
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• 2024

본 논문에서는 O2O 상점의 자동화에 필수적인 객체 인식 모델의 성능 향상을 목표로, 생성 AI 기술을 이용한 데이터 증강 방법을 제시한다. 제안하는 방법은 텍스트 프롬프트를 활용하여 진열대 상품 이미지를 포함한 다양한 고품질 이미지를 생성할 수 있음을 보인다. 또한, 실제에 더 가까운 상세한 이미지를 생성하기 위한 최적화된 프롬프트를 제안하고, Stable-Diffusion과 DALL-E2의 생성 결과를 통해 비교 분석한다. 이러한 접근 방법은 객체 인식 모델의 성능 향상에 영향을 미칠 것으로 기대된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.304-307
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• 2015

It's a shame one of the famous places of Busan is the underground shopping area on the decline gradually. The reason why we developed this application is to provide information of the desired product and store for other residents as well as Busan residents. As a result, we expect a revival of underground shopping area. The main features of the application are to provide the location of shops and the information of products. In addition, it provides information of shops around me to utilize of location-based-service. We studied the possibility of win-win situation between offline stores and online through this application.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.2
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• pp.125-132
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• 2017

O2O service contribute to sales increment by marketing of offline store using online. In particular, O2O business allowed various services by smart-phone due to rapid increase of mobile device use and various services depend on customer's location. This O2O service play major roll in real purchase making of offline store. In smart-phone apps. development for O2O service, recent an Object-oriented Analysis and Design Method, that is, UML is more useful method than Structured Analysis and Design Method. Therefore in this paper, Software analysis and design method which is smart-pone app. for O2O restaurant service is presented. Also it shows that this analysis/design method is very useful for the Restaurant O2O Commercial System production.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.561-571
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• 2020

Location information service using big data is continuously developing. In terms of navigation, the range of services from map API service to ship navigation information has been expanded, and system application information has been extended to SNS and blog search records for each location. Recently, it is being used as a new industry such as location-based search and advertisement, driverless cars, Internet of Things (IoT) and online to offline (O2O) services. In this study, we propose an information system that enables users to receive information about nearby stores more effectively by using big data when a user moves a specific route. In addition, we have designed this system so that local stores can use this system to effectively promote it at low cost. In particular, we analyzed web-based information in real time to improve the accuracy of information provided to users by complementing the data. Through this system, system users will be able to utilize the information more effectively. Also, from a system perspective, it can be used to create new services by integrating with various web services.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.11
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• pp.1457-1462
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• 2021

Untact order payment has become a new normal since the COVID-19. BLE beacon is a technology that supports low-power wireless communication within 70 meters without Bluetooth pairing and is specialized for indoor positioning. Therefore, it is suitable for building and providing O2O services beyond B2C and B2B services. However, beacons have a lower utilization rate because they have fewer platforms than wifi that support long-distance wireless communication. Therefore, this paper aims to provide more convenient non-face-to-face related services than before by designing and proposing an O2O service platform using BLE beacons. When scanning beacons, not only does it receive advertising data that beacons have, but it also ensures that the actual distance between the user's terminal and beacons is accurately calculated. Through accurate location, the O2O service platform will be able to provide users with store information, such as coupons and discounts, museum exhibits, and traffic information at the right time.

• Korean Journal of Food Science and Technology
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• v.37 no.2
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• pp.287-293
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• 2005

Microbial contamination levels in commercial strawberry juices were examined for sanitary indication bacteria, such as aerobic plate count (APC), coliforms, and Escherchia coli, and pathogenic bacteria such as E. coli O157:H7, Salmonella spp., Staphylococcus aureus, and Listeria monocytogenes. APC and coliform count ranged 0-5.2 and $0-2.8\;log_{10}\;CFU/(mL,\;g,\;100cm^{2},\;hand)$, respectively, and 80% strawberry juices were contaminated with E. coli and S. aureus, detected at 19%, was found in employee's hands, strawberries, and strawberry juices, whereas E. coli O157:H7, Salmonella spp, and L. monocytogenes were not detected. These results will provide microbiological information for introduction of Hazard Analysis Critical Control Point (HACCP) system in juice shops.

• Journal of Digital Contents Society
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• v.19 no.9
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• pp.1689-1697
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• 2018

This paper explored how to design amobile application for Korea's traditional markets based on O2O service and data science technologies. In order to cover a broader scope of customers, diversify the ways to sell products, and increase the profits of Korea's traditional markets, the application bridges online customers with offline stores at traditional markets and augments both convenience and accessibility. Beyond the typical face-to-face interactions between customers and sellers at traditional markets, this application offers mobile payments and personalized recommendations of nearby stores and preferable products using Beacon and datascience technologies. Moreover, it offers multi-language support for foreign customers who are not familiar with Korea's traditional markets and the products sold there. In conclusion, using O2O service, which is a rising trend among prevalent platform technologies, this study proposed a new e-commerce model for Korea's traditional markets to promote market expansion.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.3
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• pp.361-372
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• 1999

The main objectives of this study were to investigate the characteristics of clothing buying behavior under the refund policy of stores (CCBBURPS) and the influence variables on CCBBURPS and to build the model of CCBBURPS. Additionally frequency and reasons for refund were researched. The interviews with 26 subjects the reviews of previous studies and the empirical investigation were processed for the study. The data was collected from 163 Korean females living in U.S. and analyzed by frequency mean factor analysis {{{{ chi ^2 }}-test, t-test and regression. The following results were found : the easyness of decision making (EDM) the loyalty of refund policy store (LRPS) and the increase of buying (IB) were found as the characteristics of clothing buying behaviors under the refund policy. EDM, LRPS and IB were influenced by clothing attitudes-shopping involvement and perceived buying risk-. The frequency of refund with 10 purchases was usually 0~1 times(38.7%) or 1~2 times (38.7%) The reasons for refund were : size unflattering appearance design com\ulcorner. The model of CCBBURPS was built based on the above findings(fig. 1)

• Journal of Ginseng Research
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• v.12 no.1
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• pp.11-29
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• 1988

This study was conducted to investigate the effect of light intensity and temperature on the photosynthesis and respiration of ginseng plant. Highly significant, second degree curvilinear regressions were recognized among the photosynthesis of ginseng leaves, light intensity and temperature. And an interaction between the effects of light intensity and temperature on the photosynthesis of ginseng leaves was found to be highly significant. The increasing rate of photosynthesis with the increase of light intensity was markedly decreased with increasing temperature. The light compensation point of ginseng leaves was significantly varied with temperature, and the average point was approximately 600 lux. The light saturation point of Korean ginseng was 11,000 lux at $15^{\circ}C$ and $20^{\circ}C$ and around 9,500 lux at above $25^{\circ}C$. The decreasing rate of photosynthesis with the increase of temperature significantly increased with increasing light intensity. The optimum temperature for the photosynthesis of ginseng leaves was about 15 to $22^{\circ}C$ and markedly decreased with increasing light intensity. The highest photosynthesis occurred in ginseng leaves grown with the shade of 15% transmittance. The respiration of ginseng leaves increased with the shade of 5% and/or 30% transmittance. High temperature stimulated the respiration of ginseng leaves. Percent respiration to photosynthesis of ginseng leaves grown with the shade was increased at high temperature and decreased with increasing light Intensity. It was also increased with increasing transmittance. The maximum $CO_2$ absorption of ginseng leaves grown with the shade of 5Ps and ISVS transmittance accurred at 9 o'clock a.m., whereas that of 20% transmittance occurred at 7-9 o'clock a.m. The duration of $CO_2$ absorption was distinctively long with the shade of high transmittance. The $CO_2$ compensation point in the photosynthesis of ginseng leaves was 130 ppm.